A graph-based approach for latency modeling and optimization in multiview video encoding

Carballeira López, Pablo and Cabrera Quesada, Julian and Ortega Diego, Antonio and Jaureguizar Núñez, Fernando and García Santos, Narciso (2011). A graph-based approach for latency modeling and optimization in multiview video encoding. In: "3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2011", 16/05/2011 - 18/05/2011, Antalya, Turquía. ISBN 978-1-61284-161-8.

Description

Title: A graph-based approach for latency modeling and optimization in multiview video encoding
Author/s:
  • Carballeira López, Pablo
  • Cabrera Quesada, Julian
  • Ortega Diego, Antonio
  • Jaureguizar Núñez, Fernando
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2011
Event Dates: 16/05/2011 - 18/05/2011
Event Location: Antalya, Turquía
Title of Book: Proceedings of 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2011
Date: 2011
ISBN: 978-1-61284-161-8
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We present a novel framework for encoding latency analysis of arbitrary multiview video coding prediction structures. This framework avoids the need to consider an specific encoder architecture for encoding latency analysis by assuming an unlimited processing capacity on the multiview encoder. Under this assumption, only the influence of the prediction structure and the processing times have to be considered, and the encoding latency is solved systematically by means of a graph model. The results obtained with this model are valid for a multiview encoder with sufficient processing capacity and serve as a lower bound otherwise. Furthermore, with the objective of low latency encoder design with low penalty on rate-distortion performance, the graph model allows us to identify the prediction relationships that add higher encoding latency to the encoder. Experimental results for JMVM prediction structures illustrate how low latency prediction structures with a low rate-distortion penalty can be derived in a systematic manner using the new model.

More information

Item ID: 12221
DC Identifier: http://oa.upm.es/12221/
OAI Identifier: oai:oa.upm.es:12221
Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5877204&contentType=Conference+Publications
Deposited by: Memoria Investigacion
Deposited on: 29 Aug 2012 09:11
Last Modified: 21 Apr 2016 11:26
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